Indoor Localization Algorithm Based on Particle Filter Optimization in NLOS Environment

The performance of indoor localization algorithm is limited by non-line-of-sight (NLOS) error, a positioning system includes Bluetooth module, Bluetooth gateway and cloud monitoring center based on particle filter is presented to enhance positioning accuracy. Our experimental results indicate that the proposed localization scheme leads to higher localization accuracy and lower power consumption.